Our commercial clients are asking whether we use artificial intelligence to deliver our services or manage their operational data. How do we build an external AI disclosure policy that protects our business without creating unnecessary liability?

Question

Tyler Smith · Accepted Answer

Clients do not ask this question out of curiosity. They ask because they are worried their proprietary intellectual property, trade secrets, or customer records will be dumped into public training models or mismanaged by an unaccountable system.

Your external policy must focus on data boundaries and human accountability rather than listing software tools. State clearly that your company uses closed enterprise tools for data hygiene, initial research, and routine data processing. Explicitly confirm that client data is never opted in to train public models. More importantly, assure them that every final deliverable, strategic recommendation, and production output is thoroughly reviewed, validated, and signed off by a human expert.

Do not over-promise by claiming you will never use machine tools. Doing so will box your operations into a corner and make future efficiency gains impossible. Keep your disclosure grounded in three points:

- Data security: Client data remains confidential and is never used to train public machine learning engines.
- Human-in-the-loop oversight: Automated tools may draft or analyze, but qualified staff members verify every outcome.
- Accountability: The company stands behind its finished work, regardless of the tools used behind the scenes.

Train your account managers to deliver this policy plainly during onboarding. When clients see that your human team remains fully accountable for results, their hesitation disappears.